{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/business-process-deviance-mining-review-and","title":"Business Process Deviance Mining: Review and Evaluation","arxiv_id":"1608.08252","date":"2016-08-29","proceeding":null,"authors":["Hoang Nguyen","Marlon Dumas","Marcello La Rosa","Fabrizio Maria Maggi","Suriadi Suriadi"],"abstract":"Business process deviance refers to the phenomenon whereby a subset of the\nexecutions of a business process deviate, in a negative or positive way, with\nrespect to its expected or desirable outcomes. Deviant executions of a business\nprocess include those that violate compliance rules, or executions that\nundershoot or exceed performance targets. Deviance mining is concerned with\nuncovering the reasons for deviant executions by analyzing business process\nevent logs. This article provides a systematic review and comparative\nevaluation of deviance mining approaches based on a family of data mining\ntechniques known as sequence classification. Using real-life logs from multiple\ndomains, we evaluate a range of feature types and classification methods in\nterms of their ability to accurately discriminate between normal and deviant\nexecutions of a process. We also analyze the interestingness of the rule sets\nextracted using different methods. We observe that feature sets extracted using\npattern mining techniques only slightly outperform simpler feature sets based\non counts of individual activity occurrences in a trace.","url_abs":"http://arxiv.org/abs/1608.08252v1","url_pdf":"http://arxiv.org/pdf/1608.08252v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"business-process-deviance-mining-review-and","repo_url":"https://github.com/Abercus/devianceminingoverview","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}